Resource Allocation Algorithm For Power Line Communication System With Imperfect Csi

Assuming perfect channel state information (CSI) available at the transmitter, existing resource allocation algorithms for power line communication system have shown significant performance. Unfortunately, imperfect CSI arises from channel estimation errors, channel feedback delay, impulsive noise and so on. In this paper, optimal algorithm is designed from realistic power line communication perspective, the effect of CSI imperfection is embedded into the resource allocation problem, system goodput optimization goal is set to jointly consider transmission rate and bit error rate, and power guarantee factor is introduced to ensure the users' fairness. Considering the expectation of CSI correlation function, Lagrange dual decomposition framework is used to derive the optimal allocation, and alternative iteration method of Lagrange multipliers is proposed to replace the traditional nested iteration method. Simulation results and analysis show that the proposed algorithm can effectively improve the computation efficiency and achieve higher system goodput, while ensuring the lowest goodput of each user.